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Analisis Faktor Konfirmatori Multi-Grup (MG-CFA)×Differential Item Functioning (DIF)×
BidangPsikometriPsikometri
KeluargaLatent structureLatent structure
Tahun asal19711970s–1993
PencetusKarl JöreskogWilliam H. Angoff and colleagues (ETS); systematized by Holland & Wainer
TipeMeasurement model / invariance testItem-level bias detection
Sumber perintisVandenberg, R. J. & Lance, C. E. (2000). A review and synthesis of the measurement invariance literature: Suggestions, practices, and recommendations for organizational research. Organizational Research Methods, 3(1), 4–70. DOI ↗Holland, P. W. & Wainer, H. (Eds.) (1993). Differential Item Functioning. Lawrence Erlbaum Associates. ISBN: 978-0805809589
AliasMG-CFA, multi-group CFA, measurement invariance testing, multi-sample CFADIF, item bias analysis, measurement non-equivalence, item-level measurement bias
Terkait65
RingkasanMulti-group confirmatory factor analysis tests whether a measurement model holds equivalently across two or more groups — such as cultures, genders, or time points. By imposing increasingly stringent equality constraints and comparing model fit, it determines whether comparisons of latent mean scores are justified.Differential item functioning identifies test or survey items that behave differently for examinees from different groups — such as gender, ethnicity, or language background — after controlling for the underlying ability or trait being measured. DIF analysis is essential for fairness evaluation in educational testing and psychological scale development.
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ScholarGateBandingkan metode: Multi-group confirmatory factor analysis · Differential Item Functioning. Diakses 2026-06-17 dari https://scholargate.app/id/compare